Guowen Xu
Hongwei Li
ABSTRACT
We design a Practical and Privacy-Aware Truth Discovery (PPATD) approach in mobile crowd sensing systems, which supports users to go offline at any time while still achieving practical efficiency under working process. More notably, our PPATD is the first solution under single server setting to resolve the problem that users must be online at all times during the truth discovery. Moreover, we design a double-masking with one-time pads protocol to further ensure the strong security of users' privacy even if there is a collusion between the cloud server and multiple users.
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Digital Library
- Li et al. 2014. Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. In Proceedings of ACM SIGMOD . 1187--1198. Google ScholarDigital Library
- Miao et al. 2015. Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. In Proceedings of ACM SenSys. 183--196. Google ScholarDigital Library
- Tang et al. 2018. Non-Interactive Privacy-Preserving Truth Discovery in Crowd Sensing Applications. In Proceedings of IEEE INFOCOM. 1--9.Google ScholarCross Ref
- Zheng et al. 2017. Privacy-Aware and Efficient Mobile Crowdsensing with Truth Discovery. IEEE Transactions on Dependable and Secure Computing (2017).Google Scholar
Index Terms
- Practical and Privacy-Aware Truth Discovery in Mobile Crowd Sensing Systems
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